Publicação
Agent-based model for a token-based coalition loyalty program: evaluating the impact of campaign review frequency on merchant utility and retention in a coalition loyalty program
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | |
| dc.contributor.advisor | Figueiredo, Ronnie | |
| dc.contributor.author | Lima, Paulo Augusto de | |
| dc.date.accessioned | 2026-05-28T13:31:32Z | |
| dc.date.available | 2026-05-28T13:31:32Z | |
| dc.date.issued | 2026-01-21 | |
| dc.date.submitted | 2026-01-21 | |
| dc.description.abstract | This work project develops an agent-based model to examine how behavioural feedback, strategic adaptation, and governance rules interact in a token-based coalition loyalty platform. The model simulates heterogeneous consumers, adaptive merchants, and a shared points economy, allowing participation and performance to emerge endogenously over time. Using the Compro no Fundão platform as a reference context, the study investigates how incentive design and decision-making structures influence merchant retention, consumer engagement, and sustainability. The findings demonstrate the value of simulation-based analysis for anticipating coordination challenges in digital loyalty ecosystems. | eng |
| dc.identifier.tid | 204242401 | |
| dc.identifier.uri | http://hdl.handle.net/10362/203530 | |
| dc.language.iso | eng | |
| dc.relation | UID/ECO/00124/2013 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Agent-based model | |
| dc.subject | Coalition loyalty program | |
| dc.subject | Digital platform | |
| dc.subject | Stakeholder participation | |
| dc.subject | Token economy | |
| dc.title | Agent-based model for a token-based coalition loyalty program: evaluating the impact of campaign review frequency on merchant utility and retention in a coalition loyalty program | eng |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economics |